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Free AWS-CERTIFIED-DATA-ENGINEER-ASSOCIATE-DEA-C01 – Amazon AWS-CERTIFIED-DATA-ENGINEER-ASSOCIATE-DEA-C01 Practice Test Question

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Showing 22–24 of 32 questions

Question 22 (Topic 1)

A company stores information about its subscribers in an Amazon S3 bucket. The company runs an analysis every time a subscriber ends their subscription. The company uses AWS Lambda functions to respond to events from the S3 bucket by performing analyses. The Lambda functions clean data from the S3 bucket and initiate an AWS Glue workflow. The Lambda functions have 128 MB of memory and 512 MB of ephemeral storage. The Lambda functions have a timeout of 15 seconds. All three functions successfully finish running. However, CPU usage is often near 100%, which causes slow performance. The company wants to improve the performance of the functions and reduce the total runtime of the pipeline. Which solution will meet these requirements?

Select an option, then click Submit answer.

  • ○ Increase the memory of the Lambda functions to 512 MB.
  • ○ Increase the number of retries by using the Maximum Retry Attempts setting.
  • ○ Configure the Lambda functions to run in the company's VPC.
  • ○ Increase the timeout value for the Lambda functions from 15 seconds to 30 seconds.
Question 23 (Topic 1)

A company uses a data stream in Amazon Kinesis Data Streams to collect transactional data from multiple sources. The company uses an AWS Glue extract, transform, and load (ETL) pipeline to look for outliers in the data from the stream. When the workflow detects an outlier, it sends a notification to an Amazon Simple Notification Service (Amazon SNS) topic. The SNS topic initiates a second workflow to retrieve logs for the outliers and stores the logs in an Amazon S3 bucket. The company experiences delays in the notifications to the SNS topic during periods when the data stream is processing a high volume of data. When the company examines Amazon CloudWatch logs, the company notices a high value for the glue.driver.BlockManager.disk.diskSpaceUsed_MB metric when the traffic is high. The company must resolve this issue. Which solution will meet this requirement with the LEAST operational effort?

Select an option, then click Submit answer.

  • ○ Increase the number of data processing units (DPUs) in AWS Glue ETL jobs.
  • ○ Use Amazon EMR to manage the ETL pipeline instead of AWS Glue.
  • ○ Use AWS Step Functions to orchestrate a parallel workflow state.
  • ○ Enable auto scaling for the AWS Glue ETL jobs.
Question 24 (Topic 1)

A company needs to aggregate and filter a large amount of streaming data in real-time with low latency. The company needs to store the data in Amazon S3 for analysis. Which solution will meet these requirements in the MOST operationally efficient way?

Select an option, then click Submit answer.

  • ○ Use Amazon Kinesis Data Streams with provisioned capacity and AWS Lambda functions to perform custom transformations and to integrate with Amazon S3.
  • ○ Use Amazon Data Firehose with built-in data transformations. Deliver the data directly to Amazon S3.
  • ○ Use Amazon Kinesis Data Streams and Amazon Managed Service for Apache Flink to perform complex processing and to integrate with Amazon S3.
  • ○ Use Amazon Data Firehose and AWS Lambda functions to perform custom transformations and to deliver the data to Amazon S3.